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PAL Robotics Tiago
Service robot on mobile base, designed to work in indoor environments.Laser range-finder and mapping and localization in unstructured indoor environments. People aware multi-sensor navigation. Obstacle avoidance.Front RGB-D camera for object recognition and pose estimation, face detection & recognition, people detection.Multilanguage text-to-speech & speech recognition. Remote control with tablet. Telepresence and teleoperation.Pick & place with grasping and dexterous 7 DoF manipulator, with lead-through and force sensing.Interchangeable end-effector with force-torque sensing.Large workspace: from ground level to 1.5 m
Key features:
- Autonomy: 1 battery, 4 – 5h
- CPU: Intel i5, 4 Gb RAM
- Compatible OS: Ubuntu LTS 64-bits, ROS LTS
- Programmable using Python, C++, Java, MATLAB
- Two HD cameras, four microphones, sonar rangefinder, two infrared emitters and receivers, inertial board, nine tactile sensors, eight pressure sensors
Possible applications:
- Mobile robot studies
- Robot vision and gesture studies
- Telepresence and remote robot operation
- ROS based robot programming
Technical specifications
| DoA: | 7 |
| Interface: | Ethernet, Wi-Fi, Bluetooth |
| Arms Payload: | 3 kg |
| Weight: | 70 kg |
| Height: | 110 – 145 cm |
Access information
| Corresponding infrastructure | University of the West of England Bristol Robotics Laboratory |
| Location | Coldharbour Ln, Stoke Gifford, Bristol BS16 1QY, UK |
| Unit of access | Working day |
Access history
TR - Tiago Review
Mateusz Sadowski
The goal of the project is to get acquainted with the Tiago robotics platform and document it in a publicly available technical review of system architecture together with platform demonstrators showing the possibilities of the robot. A number of tests will be devised while working on the robot and data from each representative run will be logged in a form of a ROS bagfile so that it can be shared with the readers of the technical review and even reproduce some of the results based on logged data.
The foreseen impact is expected: • Working with a high end robotics platform will increase my chances of attracting customers interested in platforms similar to Tiago • The skills developed while working on the projects will be transferable to other robots I will work with in the future • Open technical review of the platform and its capabilities can be a good learning resource for Robotics Engineers and students pursuing robotics • By providing logged data the results will be “open for discussion”, anyone will be open to comment and contribute on them • This work can kick off the article section in “Weekly Robotics” newsletter and potentially an “Architecture of Open Source Robotics” book
Additional information
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730994
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